Obstruction detection in air traffic control systems for unmanned aerial vehicles

ABSTRACT

Obstruction detection and management systems and methods are performed through an Air Traffic Control (ATC) system for Unmanned Aerial Vehicles (UAVs). The obstruction detection and management method includes receiving UAV data from a plurality of UAVs, wherein the UAV data includes operational data for the plurality of UAVs and obstruction data from one or more UAVs; updating an obstruction database based on the obstruction data; monitoring a flight plan for the plurality of UAVs based on the operational data; and transmitting obstruction instructions to the plurality of UAVs based on analyzing the obstruction database with their flight plan.

CROSS-REFERENCE TO RELATED APPLICATION(S)

The Present Patent/Application is Continuation-in-Part of, and theContent of Each is Incorporated by Reference Herein

Filing Date Serial No. Title Aug. 23, 2016 15/244,023 AIR TRAFFICCONTROL MONITORING SYSTEMS AND METHODS FOR UNMANNED AERIAL VEHICLES Jul.22, 2016 15/217,135 FLYING LANE MANAGEMENT SYSTEMS AND METHODS FORUNMANNED AERIAL VEHICLES Jun. 27, 2016 15/193,488 AIR TRAFFIC CONTROL OFUNMANNED AERIAL VEHICLES FOR DELIVERY APPLICATIONS Jun. 17, 201615/185,598 AIR TRAFFIC CONTROL OF UNMANNED AERIAL VEHICLES CONCURRENTLYUSING A PLURALITY OF WIRELESS NETWORKS Jun. 10, 2016 15/179,188 AIRTRAFFIC CONTROL OF UNMANNED AERIAL VEHICLES VIA WIRELESS NETWORKS

FIELD OF THE DISCLOSURE

The present disclosure relates generally to systems and methods tocontrol Unmanned Aerial Vehicles (UAVs or “drones”). More particularly,the present disclosure relates to obstruction detection systems andmethods with air traffic control systems for UAVs.

BACKGROUND OF THE DISCLOSURE

Use of Unmanned Aerial Vehicles (UAVs or “drones”) is proliferating.UAVs are used for a variety of applications such as search and rescue,inspections, security, surveillance, scientific research, aerialphotography and video, surveying, cargo delivery, and the like. With theproliferation, the Federal Aviation Administration (FAA) is providingregulations associated with the use of UAVs. Existing air trafficcontrol in the United States is performed through a dedicated airtraffic control network, i.e., the National Airspace System (NAS).However, it is impractical to use the existing air traffic controlnetwork for UAVs because of the sheer quantity of UAVs. Also, it isexpected that UAVs will be autonomous, requiring communication forflight control as well. There will be a need for systems and methods toprovide air traffic control and communication to UAVs.

There is a great deal of discussion and anticipation for using dronesfor applications such as package delivery. For example, online stores,brick & mortar stores, restaurants, etc. can use drones to providedelivery to end consumers. As the number of applications increase andthe number of UAVs concurrently in flight also increase, there arevarious issues that have to be addressed relative to air trafficcontrol.

As UAV use proliferates, there is a need to coordinate flying lanes toavoid collisions, obstructions, etc. Of course, with UAV use as a hobby,collision avoidance is not a major concern. However, once UAVs beginwidespread delivery applications, collisions will be a major problem dueto the potential damage to deliveries as well as threats to people andproperty on the ground. Thus, there is a need for flying lane managementsystems and methods.

Further, it is expected that there will be orders of magnitude more UAVsin flight in any geographic region, zone, coverage area, etc. thanregular aircraft. Accordingly, conventional monitoring systems andmethods are inadequate to support UAV monitoring. Thus, there is a needfor optimized UAV monitoring systems and methods.

Further, obstructions on or near the ground pose a significant risk toUAVs as most UAVs fly only several hundred feet above the ground, unlikeairplanes which fly at thousands of feet above the ground. Stateddifferently, air traffic control for airplanes focuses on otherairplanes primarily whereas air traffic control for UAVs must deal withother UAVs and with near ground obstructions.

BRIEF SUMMARY OF THE DISCLOSURE

In an exemplary embodiment, an obstruction detection and managementmethod implemented through the UAV air traffic control system for theUAVs includes receiving UAV data from a plurality of UAVs, wherein theUAV data includes operational data for the plurality of UAVs andobstruction data from one or more UAVs; updating an obstruction databasebased on the obstruction data; monitoring a flight plan for theplurality of UAVs based on the operational data; and transmittingobstruction instructions to the plurality of UAVs based on analyzing theobstruction database with their flight plan.

In another exemplary embodiment, an Unmanned Aerial Vehicle (UAV) airtraffic control and monitoring system for obstruction detection andmanagement includes a network interface and one or more processorscommunicatively coupled to one another; and memory storing instructionsthat, when executed, cause the one or more processors to receive UAVdata from a plurality of UAVs, wherein the UAV data includes operationaldata for the plurality of UAVs and obstruction data from one or moreUAVs; update an obstruction database based on the obstruction data;monitor a flight plan for the plurality of UAVs based on the operationaldata; and transmit obstruction instructions to the plurality of UAVsbased on analyzing the obstruction database with their flight plan.

A non-transitory computer-readable medium comprising instructions that,when executed, cause one or more processors to perform steps of:receiving Unmanned Aerial Vehicle (UAV) data from a plurality of UAVs,wherein the UAV data includes operational data for the plurality of UAVsand obstruction data from one or more UAVs; updating an obstructiondatabase based on the obstruction data; monitoring a flight plan for theplurality of UAVs based on the operational data; and transmittingobstruction instructions to the plurality of UAVs based on analyzing theobstruction database with their flight plan.

In an exemplary embodiment, an Unmanned Aerial Vehicle (UAV) air trafficcontrol and monitoring method implemented by a consolidated systemincludes communicating with a plurality of servers each configured tocommunicate with a plurality of UAVs in a geographic or zone coverage;consolidating data from the plurality of servers to provide avisualization of a larger geography comprising a plurality of geographicor zone coverages; providing the visualization via a Graphical UserInterface (GUI); and performing one or more functions via the GUI forair traffic control and monitoring at any of a high-level and anindividual UAV level.

Further, in an exemplary embodiment, a flying lane management methodimplemented in an air traffic control system communicatively coupled toone or more Unmanned Aerial Vehicles (UAVs) via one or more wirelessnetworks includes: initiating communication to the one or more UAVs at apreflight stage for each, wherein the communication is via one or morecell towers associated with the one or more wireless networks, whereinthe plurality of UAVs each include hardware and antennas adapted tocommunicate to the plurality of cell towers; determining a flying lanefor the one or more UAVs based on a destination, current air traffic ina region under management of the air traffic control system, and basedon detected obstructions in the region; and providing the flying lane tothe one or more UAVs are an approval to takeoff and fly along the flyinglane.

In another exemplary embodiment, an air traffic control systemcommunicatively coupled to one or more Unmanned Aerial Vehicles (UAVs)via one or more wireless networks adapted to perform flying lanemanagement includes a network interface and one or more processorscommunicatively coupled to one another; and memory storing instructionsthat, when executed, cause the one or more processors to: initiatecommunication to the one or more UAVs at a preflight stage for each,wherein the communication is via one or more cell towers associated withthe one or more wireless networks, wherein the plurality of UAVs eachinclude hardware and antennas adapted to communicate to the plurality ofcell towers; determine a flying lane for the one or more UAVs based on adestination, current air traffic in a region under management of the airtraffic control system, and based on detected obstructions in theregion; and provide the flying lane to the one or more UAVs are anapproval to takeoff and fly along the flying lane.

In an exemplary embodiment, an Unmanned Aerial Vehicle (UAV) air trafficcontrol method utilizing wireless networks and concurrently supportingdelivery application authorization and management includes communicatingwith a plurality of UAVs via a plurality of cell towers associated withthe wireless networks, wherein the plurality of UAVs each comprisehardware and antennas adapted to communicate to the plurality of celltowers; maintaining data associated with flight of each of the pluralityof UAVs based on the communicating; processing the maintained data toperform a plurality of functions associated with air traffic control ofthe plurality of UAVs; and processing the maintained data to perform aplurality of functions for the delivery application authorization andmanagement for each of the plurality of UAVs.

In an exemplary embodiment, an Unmanned Aerial Vehicle (UAV) air trafficcontrol method is implemented in a UAV during a flight, for concurrentlyutilizing a plurality of wireless networks for air traffic control. TheUAV air traffic control method includes maintaining communication with afirst wireless network and a second wireless network of the plurality ofwireless networks; communicating first data with the first wirelessnetwork and second data with the second wireless network throughout theflight, wherein one or more of the first data and the second data isprovided to an air traffic control system configured to maintain statusof a plurality of UAVs in flight and perform control thereof; andadjusting the flight based on one or more of the first data and thesecond data and control from the air traffic control system.

In an exemplary embodiment, an Unmanned Aerial Vehicle (UAV) air trafficcontrol method utilizing wireless networks includes communicating with aplurality of UAVs via a plurality of cell towers associated with thewireless networks, wherein the plurality of UAVs each include hardwareand antennas adapted to communicate to the plurality of cell towers, andwherein each of the plurality of UAVs include a unique identifier;maintaining data associated with flight of each of the plurality of UAVsbased on the communicating; and processing the maintained data toperform a plurality of functions associated with air traffic control ofthe plurality of UAVs. The UAV-based method can further includetransmitting data based on the processing to one or more of theplurality of UAVs to perform the plurality of functions.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is illustrated and described herein withreference to the various drawings, in which like reference numbers areused to denote like system components/method steps, as appropriate, andin which:

FIG. 1 is a diagram of a side view of an exemplary cell site;

FIG. 2 is a perspective view of an exemplary UAV for use with thesystems and methods described herein;

FIG. 3 is a block diagram of a mobile device, which may be embedded orassociated with the UAV of FIG. 1;

FIG. 4 is a network diagram of various cell sites deployed in ageographic region;

FIG. 5 is a block diagram of functional components of a UAV air trafficcontrol system;

FIG. 6 is a diagram of various cell sites deployed in a geographicregion;

FIG. 7 is a map of three cell towers and associated coverage areas fordescribing location determination of the UAV;

FIG. 8 is a flowchart of a UAV air traffic control method utilizingwireless networks;

FIG. 9 is a flowchart of a UAV air traffic control method concurrentlyutilizing a plurality of wireless networks;

FIG. 10 is a flowchart of a packet delivery authorization and managementmethod utilizing the UAV air traffic control system of FIG. 5;

FIG. 11 is a diagram of a flight path of an associated flying lane of aUAV from takeoff to landing;

FIG. 12 is a diagram of obstruction detection by the UAV and associatedchanges to the flying lane;

FIG. 13 is a flowchart of a flying lane management method via an airtraffic control system communicatively coupled to a UAV via one or morewireless networks;

FIG. 14 is a block diagram of functional components of a consolidatedUAV air traffic control monitoring system;

FIG. 15 is a screen shot of a Graphical User Interface (GUI) providing aview of the consolidated UAV air traffic control monitoring system;

FIG. 16 is a flowchart of a UAV air traffic control and monitor method;

FIGS. 17 and 18 are block diagrams of the UAV air traffic control systemdescribing functionality associated with obstruction detection,identification, and management with FIG. 17 describing data transferfrom the UAVs to the servers and FIG. 18 describing data transfer to theUAVs from the servers; and

FIG. 19 is a flowchart of an obstruction detection and management methodimplemented through the UAV air traffic control system for the UAVs.

DETAILED DESCRIPTION OF THE DISCLOSURE

Again, in various exemplary embodiments, the present disclosure relatesto obstruction detection systems and methods with air traffic controlsystems for UAVs. Specifically, the systems and methods use a frameworkof an air traffic control system which uses wireless (cell) networks tocommunicate with various UAVs. Through such communication, the airtraffic control system receives continuous updates related to existingobstructions whether temporary or permanent, maintains a database ofpresent obstructions, and updates the various UAVs with associatedobstructions in their flight plan. The systems and methods can furtherdirect UAVs to investigate, capture data, and provide such data foranalysis to detect and identify obstructions for addition in thedatabase. The systems and methods can make use of the vast datacollection equipment on UAVs, such as cameras, radar, etc. to properlyidentify and classify obstructions.

Further, in various exemplary embodiments, the present disclosurerelates to air traffic control monitoring systems and methods for UAVs.Conventional FAA Air Traffic Control monitoring approaches are able totrack and monitor all airplanes flying in the U.S. concurrently. Suchapproaches do not scale with UAVs which can exceed airplanes in numbersby several orders of magnitude. The systems and methods provide ahierarchical monitoring approach where zones or geographic regions ofcoverage are aggregated into a consolidated view for monitoring andcontrol. The zones or geographic regions can provide local monitoringand control while the consolidated view can provide national monitoringand control in addition to local monitoring and control through adrill-down process. A consolidated server can aggregate data fromvarious sources of control for zones or geographic regions. From thisconsolidated server, monitoring and control can be performed for any UAVcommunicatively coupled to a wireless network.

Further, in various exemplary embodiments, flying lane managementsystems and methods are described for UAVs such as through an airtraffic control system that uses one or more wireless networks. Asdescribed herein, a flying lane for a UAV represents its path fromtakeoff to landing at a certain time. The objective of flying lanemanagement is to prevent collisions, congestion, etc. with UAVs inflight. A flying lane can be modeled as a vector which includescoordinates and altitude (i.e., x, y, and z coordinates) at a specifiedtime. The flying lane also can include speed and heading such that thefuture location can be determined. The flying lane management systemsutilize one or more wireless networks to manage UAVs in variousapplications.

Note, flying lanes for UAVs have significant differences fromconventional air traffic control flying lanes for aircraft (i.e.,commercial airliners). First, there will be orders of magnitude moreUAVs in flight than aircraft. This creates a management and scale issue.Second, air traffic control for UAVs is slightly different than aircraftin that collision avoidance is paramount in aircraft; while stillimportant for UAVs, the objective does not have to be collisionavoidance at all costs. It is further noted that this ties into thescale issue where the system for managing UAVs will have to manage somany more UAVs. Collision avoidance in UAVs is about avoiding propertydamage in the air (deliveries and the UAVs) and on the ground; collisionavoidance in commercial aircraft is about safety. Third, UAVs are flyingat different altitudes, much closer to the ground, i.e., there may bemany more ground-based obstructions. Fourth, UAVs do not have designatedtakeoff/landing spots, i.e., airports, causing the different flightphases to be intertwined more, again adding to more managementcomplexity.

To address these differences, the flying lane management systems andmethods provide an autonomous/semi-autonomous management system, usingone or more wireless networks, to control and manage UAVs in flight, inall phases of a flying plane and adaptable based on continuous feedbackand ever changing conditions.

Also, in various exemplary embodiments, the present disclosure relatesto air traffic control of UAVs in delivery applications, i.e., using thedrones to deliver packages, etc. to end users. Specifically, an airtraffic control system utilizes existing wireless networks, such aswireless networks including wireless provider networks, i.e., cellnetworks, using Long Term Evolution (LTE) or the like, to provide airtraffic control of UAVs. Also, the cell networks can be used incombination with other networks such as the NAS network or the like.Advantageously, cell networks provide high-bandwidth connectivity,low-cost connectivity, and broad geographic coverage. The air trafficcontrol of the UAVs can include, for example, separation assurancebetween UAVs; navigation assistance; weather and obstacle reporting;monitoring of speed, altitude, location, direction, etc.; trafficmanagement; landing services; and real-time control. The UAV is equippedwith a mobile device, such as an embedded mobile device or physicalhardware emulating a mobile device. In an exemplary embodiment, the UAVcan be equipped with hardware to support plural cell networks, to allowfor broad coverage support. In another exemplary embodiment, UAV flightplans can be constrained based on the availability of wireless cellcoverage. In a further exemplary embodiment, the air traffic control canuse plural wireless networks for different purposes such as using theNAS network for location and traffic management and using the cellnetwork for the other functions.

The present disclosure leverages the existing wireless networks toaddress various issues associated with specific UAV applications such asdelivery and to address the vast number of UAVs concurrently expected inflight relative to air traffic control. In an exemplary embodiment, inaddition to air traffic control, the air traffic control system alsosupports package delivery authorization and management, landingauthorization and management, separation assurance through altitude andflying lane coordination, and the like. Thus, the air traffic controlsystem, leveraging existing wireless networks, can also provideapplication specific support.

§1.0 Exemplary Cell Site

Referring to FIG. 1, in an exemplary embodiment, a diagram illustrates aside view of an exemplary cell site 10. The cell site 10 includes a celltower 12. The cell tower 12 can be any type of elevated structure, suchas 100-200 feet/30-60 meters tall. Generally, the cell tower 12 is anelevated structure for holding cell site components 14. The cell tower12 may also include a lighting rod 16 and a warning light 18. Of course,there may various additional components associated with the cell tower12 and the cell site 10 which are omitted for illustration purposes. Inthis exemplary embodiment, there are four sets 20, 22, 24, 26 of cellsite components 14, such as for four different wireless serviceproviders. In this example, the sets 20, 22, 24 include various antennas30 for cellular service. The sets 20, 22, 24 are deployed in sectors,e.g. there can be three sectors for the cell site components—alpha,beta, and gamma. The antennas 30 are used to both transmit a radiosignal to a mobile device and receive the signal from the mobile device.The antennas 30 are usually deployed as a single, groups of two, threeor even four per sector. The higher the frequency of spectrum supportedby the antenna 30, the shorter the antenna 30. For example, the antennas30 may operate around 850 MHz, 1.9 GHz, and the like. The set 26includes a microwave dish 32 which can be used to provide other types ofwireless connectivity, besides cellular service. There may be otherembodiments where the cell tower 12 is omitted and replaced with othertypes of elevated structures such as roofs, water tanks, etc.

§1.1 FAA Regulations

The FAA is overwhelmed with applications from companies interested inflying drones, but the FAA is intent on keeping the skies safe.Currently, approved exemptions for flying drones include tight rules.Once approved, there is some level of certification for drone operatorsalong with specific rules such as speed limit of 100 mph, heightlimitations such as 400 ft, no-fly zones, only day operation,documentation, and restrictions on aerial filming. It is expected thatthese regulations will loosen as UAV deployments evolve. However, it isexpected that the UAV regulations will require flight which wouldaccommodate wireless connectivity to cell towers 12, e.g., less than afew hundred feet.

§2.0 Exemplary Hardware

Referring to FIG. 2, in an exemplary embodiment, a perspective viewillustrates an exemplary UAV 50 for use with the systems and methodsdescribed herein. Again, the UAV 50 may be referred to as a drone or thelike. The UAV 50 may be a commercially available UAV platform that hasbeen modified to carry specific electronic components as describedherein to implement the various systems and methods. The UAV 50 includesrotors 80 attached to a body 82. A lower frame 84 is located on a bottomportion of the body 82, for landing the UAV 50 to rest on a flat surfaceand absorb impact during landing. The UAV 50 also includes a camera 86which is used to take still photographs, video, and the like.Specifically, the camera 86 is used to provide the real-time display onthe screen 62. The UAV 50 includes various electronic components insidethe body 82 and/or the camera 86 such as, without limitation, aprocessor, a data store, memory, a wireless interface, and the like.Also, the UAV 50 can include additional hardware, such as robotic armsor the like that allow the UAV 50 to attach/detach components for thecell site components 14. Specifically, it is expected that the UAV 50will get bigger and more advanced, capable of carrying significantloads, and not just a wireless camera.

These various components are now described with reference to a mobiledevice 100. Those of ordinary skill in the art will recognize the UAV 50can include similar components to the mobile device 100. In an exemplaryembodiment, the UAV 50 can include one or more mobile devices 100embedded therein, such as for different cell networks. In anotherexemplary embodiment, the UAV 50 can include hardware which emulates themobile device 100 including support for multiple different cellnetworks. For example, the hardware can include multiple differentantennas and unique identifier configurations (e.g., SubscriberIdentification Module (SIM) cards). For example, the UAV 50 can includecircuitry to communicate with one or more LTE networks with anassociated unique identifier, e.g., serial number.

Referring to FIG. 3, in an exemplary embodiment, a block diagramillustrates a mobile device 100 hardware, which may be embedded orassociated with the UAV 50. The mobile device 100 can be a digitaldevice that, in terms of hardware architecture, generally includes aprocessor 102, input/output (I/O) interfaces 104, wireless interfaces106, a data store 108, and memory 110. It should be appreciated by thoseof ordinary skill in the art that FIG. 3 depicts the mobile device 100in an oversimplified manner, and a practical embodiment may includeadditional components and suitably configured processing logic tosupport known or conventional operating features that are not describedin detail herein. The components (102, 104, 106, 108, and 102) arecommunicatively coupled via a local interface 112. The local interface112 can be, for example, but not limited to, one or more buses or otherwired or wireless connections, as is known in the art. The localinterface 112 can have additional elements, which are omitted forsimplicity, such as controllers, buffers (caches), drivers, repeaters,and receivers, among many others, to enable communications. Further, thelocal interface 112 may include address, control, and/or dataconnections to enable appropriate communications among theaforementioned components.

The processor 102 is a hardware device for executing softwareinstructions. The processor 102 can be any custom made or commerciallyavailable processor, a central processing unit (CPU), an auxiliaryprocessor among several processors associated with the mobile device100, a semiconductor-based microprocessor (in the form of a microchip orchip set), or generally any device for executing software instructions.When the mobile device 100 is in operation, the processor 102 isconfigured to execute software stored within the memory 110, tocommunicate data to and from the memory 110, and to generally controloperations of the mobile device 100 pursuant to the softwareinstructions. In an exemplary embodiment, the processor 102 may includea mobile-optimized processor such as optimized for power consumption andmobile applications. The I/O interfaces 104 can be used to receive userinput from and/or for providing system output. User input can beprovided via, for example, a keypad, a touch screen, a scroll ball, ascroll bar, buttons, barcode scanner, and the like. System output can beprovided via a display device such as a liquid crystal display (LCD),touch screen, and the like. The I/O interfaces 104 can also include, forexample, a serial port, a parallel port, a small computer systeminterface (SCSI), an infrared (IR) interface, a radio frequency (RF)interface, a universal serial bus (USB) interface, and the like. The I/Ointerfaces 104 can include a graphical user interface (GUI) that enablesa user to interact with the mobile device 100. Additionally, the I/Ointerfaces 104 may further include an imaging device, i.e. camera, videocamera, etc.

The wireless interfaces 106 enable wireless communication to an externalaccess device or network. Any number of suitable wireless datacommunication protocols, techniques, or methodologies can be supportedby the wireless interfaces 106, including, without limitation: RF; IrDA(infrared); Bluetooth; ZigBee (and other variants of the IEEE 802.15protocol); IEEE 802.11 (any variation); IEEE 802.16 (WiMAX or any othervariation); Direct Sequence Spread Spectrum; Frequency Hopping SpreadSpectrum; Long Term Evolution (LTE); cellular/wireless/cordlesstelecommunication protocols (e.g. 3G/4G, etc.); wireless home networkcommunication protocols; paging network protocols; magnetic induction;satellite data communication protocols; wireless hospital or health carefacility network protocols such as those operating in the WMTS bands;GPRS; proprietary wireless data communication protocols such as variantsof Wireless USB; and any other protocols for wireless communication. Thewireless interfaces 106 can be used to communicate with the UAV 50 forcommand and control as well as to relay data. Again, the wirelessinterfaces 106 can be configured to communicate on a specific cellnetwork or on a plurality of cell networks. The wireless interfaces 106include hardware, wireless antennas, etc. enabling the UAV 50 tocommunicate concurrently with a plurality of wireless networks, such ascellular networks, GPS, GLONASS, WLAN, WiMAX, or the like.

The data store 108 may be used to store data. The data store 108 mayinclude any of volatile memory elements (e.g., random access memory(RAM, such as DRAM, SRAM, SDRAM, and the like)), nonvolatile memoryelements (e.g., ROM, hard drive, tape, CDROM, and the like), andcombinations thereof. Moreover, the data store 108 may incorporateelectronic, magnetic, optical, and/or other types of storage media. Thememory 110 may include any of volatile memory elements (e.g., randomaccess memory (RAM, such as DRAM, SRAM, SDRAM, etc.)), nonvolatilememory elements (e.g., ROM, hard drive, etc.), and combinations thereof.Moreover, the memory 110 may incorporate electronic, magnetic, optical,and/or other types of storage media. Note that the memory 110 may have adistributed architecture, where various components are situated remotelyfrom one another, but can be accessed by the processor 102. The softwarein memory 110 can include one or more software programs, each of whichincludes an ordered listing of executable instructions for implementinglogical functions. In the example of FIG. 3, the software in the memory110 includes a suitable operating system (O/S) 114 and programs 116. Theoperating system 114 essentially controls the execution of othercomputer programs and provides scheduling, input-output control, fileand data management, memory management, and communication control andrelated services. The programs 116 may include various applications,add-ons, etc. configured to provide end user functionality with themobile device 100, including performing various aspects of the systemsand methods described herein.

It will be appreciated that some exemplary embodiments described hereinmay include one or more generic or specialized processors (“one or moreprocessors”) such as microprocessors; Central Processing Units (CPUs);Digital Signal Processors (DSPs): customized processors such as NetworkProcessors (NPs) or Network Processing Units (NPUs), Graphics ProcessingUnits (GPUs), or the like; Field Programmable Gate Arrays (FPGAs); andthe like along with unique stored program instructions (including bothsoftware and firmware) for control thereof to implement, in conjunctionwith certain non-processor circuits, some, most, or all of the functionsof the methods and/or systems described herein. Alternatively, some orall functions may be implemented by a state machine that has no storedprogram instructions, or in one or more Application Specific IntegratedCircuits (ASICs), in which each function or some combinations of certainof the functions are implemented as custom logic or circuitry. Ofcourse, a combination of the aforementioned approaches may be used. Forsome of the exemplary embodiments described herein, a correspondingdevice in hardware and optionally with software, firmware, and acombination thereof can be referred to as “circuitry configured oradapted to,” “logic configured or adapted to,” etc. perform a set ofoperations, steps, methods, processes, algorithms, functions,techniques, etc. on digital and/or analog signals as described hereinfor the various exemplary embodiments.

Moreover, some exemplary embodiments may include a non-transitorycomputer-readable storage medium having computer readable code storedthereon for programming a computer, server, appliance, device,processor, circuit, etc. each of which may include a processor toperform functions as described and claimed herein. Examples of suchcomputer-readable storage mediums include, but are not limited to, ahard disk, an optical storage device, a magnetic storage device, a ROM(Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM(Erasable Programmable Read Only Memory), an EEPROM (ElectricallyErasable Programmable Read Only Memory), Flash memory, and the like.When stored in the non-transitory computer readable medium, software caninclude instructions executable by a processor or device (e.g., any typeof programmable circuitry or logic) that, in response to such execution,cause a processor or the device to perform a set of operations, steps,methods, processes, algorithms, functions, techniques, etc. as describedherein for the various exemplary embodiments.

§3.0 Exemplary Server

Referring to FIG. 4, in an exemplary embodiment, a block diagramillustrates a server 200 which may be used for air traffic control ofthe UAVs 50. The server 200 may be a digital computer that, in terms ofhardware architecture, generally includes a processor 202, input/output(I/O) interfaces 204, a network interface 206, a data store 208, andmemory 210. It should be appreciated by those of ordinary skill in theart that FIG. 4 depicts the server 200 in an oversimplified manner, anda practical embodiment may include additional components and suitablyconfigured processing logic to support known or conventional operatingfeatures that are not described in detail herein. The components (202,204, 206, 208, and 210) are communicatively coupled via a localinterface 212. The local interface 212 may be, for example, but notlimited to, one or more buses or other wired or wireless connections, asis known in the art. The local interface 212 may have additionalelements, which are omitted for simplicity, such as controllers, buffers(caches), drivers, repeaters, and receivers, among many others, toenable communications. Further, the local interface 212 may includeaddress, control, and/or data connections to enable appropriatecommunications among the aforementioned components.

The processor 202 is a hardware device for executing softwareinstructions. The processor 202 may be any custom made or commerciallyavailable processor, a central processing unit (CPU), an auxiliaryprocessor among several processors associated with the server 200, asemiconductor-based microprocessor (in the form of a microchip or chipset), or generally any device for executing software instructions. Whenthe server 200 is in operation, the processor 202 is configured toexecute software stored within the memory 210, to communicate data toand from the memory 210, and to generally control operations of theserver 200 pursuant to the software instructions. The I/O interfaces 204may be used to receive user input from and/or for providing systemoutput to one or more devices or components. User input may be providedvia, for example, a keyboard, touchpad, and/or a mouse. System outputmay be provided via a display device and a printer (not shown). I/Ointerfaces 204 may include, for example, a serial port, a parallel port,a small computer system interface (SCSI), a serial ATA (SATA), a fibrechannel, Infiniband, iSCSI, a PCI Express interface (PCI-x), an infrared(IR) interface, a radio frequency (RF) interface, and/or a universalserial bus (USB) interface.

The network interface 306 may be used to enable the server 200 tocommunicate over a network, such as to a plurality of UAVs 50 over acell network or the like. The network interface 206 may include, forexample, an Ethernet card or adapter (e.g., 10BaseT, Fast Ethernet,Gigabit Ethernet, 10 GbE) or a wireless local area network (WLAN) cardor adapter (e.g., 802.11a/b/g/n). The network interface 206 may includeaddress, control, and/or data connections to enable appropriatecommunications on the network. A data store 208 may be used to storedata. The data store 208 may include any of volatile memory elements(e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM, and thelike)), nonvolatile memory elements (e.g., ROM, hard drive, tape, CDROM,and the like), and combinations thereof. Moreover, the data store 208may incorporate electronic, magnetic, optical, and/or other types ofstorage media. In one example, the data store 208 may be locatedinternal to the server 200 such as, for example, an internal hard driveconnected to the local interface 212 in the server 200. Additionally, inanother embodiment, the data store 208 may be located external to theserver 200 such as, for example, an external hard drive connected to theI/O interfaces 204 (e.g., SCSI or USB connection). In a furtherembodiment, the data store 208 may be connected to the server 200through a network, such as, for example, a network attached file server.

The memory 210 may include any of volatile memory elements (e.g., randomaccess memory (RAM, such as DRAM, SRAM, SDRAM, etc.)), nonvolatilememory elements (e.g., ROM, hard drive, tape, CDROM, etc.), andcombinations thereof. Moreover, the memory 210 may incorporateelectronic, magnetic, optical, and/or other types of storage media. Notethat the memory 210 may have a distributed architecture, where variouscomponents are situated remotely from one another, but can be accessedby the processor 202. The software in memory 210 may include one or moresoftware programs, each of which includes an ordered listing ofexecutable instructions for implementing logical functions. The softwarein the memory 210 includes a suitable operating system (O/S) 214 and oneor more programs 216. The operating system 214 essentially controls theexecution of other computer programs, such as the one or more programs216, and provides scheduling, input-output control, file and datamanagement, memory management, and communication control and relatedservices. The one or more programs 216 may be configured to implementthe various processes, algorithms, methods, techniques, etc. describedherein.

§4.0 UAV Air Traffic Control System

Referring to FIG. 5, in an exemplary embodiment, a block diagramillustrates functional components of a UAV air traffic control system300. The UAV air traffic control system 300 includes a cell network 302and optionally other wireless networks 304 communicatively coupled toone of more servers 200 and to a plurality of UAVs 50. The cell network302 can actually include a plurality of different provider networks,such as AT&T, Verizon, Sprint, etc. The cell network 302 is formed inpart with a plurality of cell towers 12, geographically dispersed andcovering the vast majority of the United States. The cell towers 12 areconfigured to backhaul communications from subscribers. In the UAV airtraffic control system 300, the subscribers are the UAVs 50 (in additionto conventional mobile devices) and the communications is between theUAVs 50 and the servers 200. The other wireless networks 304 caninclude, for example, the NAS network, GPS and/or GLONASS, WLANnetworks, private wireless networks, or any other wireless networks.

The servers 200 are configured to provide air traffic control and can bedeployed in a control center, at a customer premises, in the cloud, orthe like. Generally, the servers 200 are configured to receivecommunications from the UAVs 50 such as for continuous monitoring and ofrelevant details of each UAV 50 such as location, altitude, speed,direction, function, etc. The servers 200 are further configured totransmit communications to the UAVs 50 such as for control based on thedetails, such as to prevent collisions, to enforce policies, to providenavigational control, to actually fly the UAVs 50, to land the UAVs 50,and the like. That is, generally, communications from the UAV 50 to theserver 200 are for detailed monitoring and communications to the UAV 50from the server 200 are for control thereof.

§4.1 Data Management

Each UAV 50 is configured with a unique identifier, such as an SIM cardor the like. Similar to standard mobile devices 100, each UAV 50 isconfigured to maintain an association with a plurality of cell towers 12based on a current geographic location. Using triangulation or otherlocation identification techniques (GPS, GLONASS, etc.), the location,altitude, speed, and direction of each UAV 50 can be continuouslymonitored and reported back to the servers 200. The servers 200 canimplement techniques to manage this data in real-time in an automatedfashion to track and control all UAVs 50 in a geographic region. Forexample, the servers 200 can manage and store the data in the data store208.

§4.2 Air Traffic Control Functions

The servers 200 are configured to perform air traffic controlfunctionality of the UAV air traffic control system 300. Specifically,the servers 200 are configured to perform separation assurance,navigation, traffic management, landing, and general control of the UAVs50. The separation assurance includes tracking all of the UAVs 50 inflight, based on the monitored data, to ensure adequate separation. Thenavigation includes maintaining defined airways. The traffic managementincludes comparing flights planes of UAVs 50 to avoid conflicts and toensure the smooth and efficient flow of UAVs 50 in flight. The landingincludes assisting and control of UAVs 50 at the end of their flight.The general control includes providing real-time data including videoand other monitored data and allowing control of the UAV 50 in flight.The general control can also include automated flight of the UAVs 50through the UAV air traffic control system 300, such as for autonomousUAVs. Generally, the UAV air traffic control system 300 can includerouting and algorithms for autonomous operation of the UAVs 50 based oninitial flight parameters. The UAV air traffic control system 300 cancontrol speed, flight path, and altitude for a vast number of UAVs 50simultaneously.

§5.0 UAV Flight Plans

Referring to FIG. 6, in an exemplary embodiment, a network diagramillustrates various cell sites 10 a-10 e deployed in a geographic region400. In an exemplary embodiment, the UAV 50 is configured to fly aflight plan 402 in the geographic region 400 while maintainingassociations with multiple cell sites 10 a-10 e during the flight plan402. In an exemplary embodiment, the UAV 50 is constrained only to flyin the geographic region 400 where it has cell coverage. This constraintcan be preprogrammed based on predetermining cell coverage.Alternatively, the constraint can be dynamically managed by the UAV 50based on monitoring its cell signal level in the mobile device 100hardware. Here, the UAV 50 will alter its path whenever it loses ordetects signal degradation to ensure it is always active on the cellnetwork 302. During the flight plan 402, the cell sites 10 a-10 e areconfigured to report monitored data to the servers 200 periodically toenable real-time air traffic control. Thus, the communication betweenthe UAVs 50 is bi-directional with the servers 200, through theassociated cell sites 10.

In an exemplary embodiment, the UAV 50 maintains an association with atleast three of the cell sites 10 which perform triangulation todetermine the location of the UAV 50. In addition to the cell sites 10on the cell network 302, the UAV 50 can also communicate to the otherwireless networks 304. In an exemplary embodiment, the UAV 50 canmaintain its GPS and/or GLONASS location and report that over the cellnetwork 302. In another exemplary embodiment, the other wirelessnetworks 304 can include satellite networks or the like.

§5.1 Triangulation

Referring to FIG. 7, in an exemplary embodiment, a map illustrates threecell towers 12 and associated coverage areas 410, 412, 414 fordescribing location determination of the UAV 50. Typically, for a cellsite 10, in rural locations, the coverage areas 410, 412, 414 can beabout 5 miles in radius whereas, in urban locations, the coverage areas410, 412, 414 can be about 0.5 to 2 miles in radius. One aspect of theUAV air traffic control system 300 is to maintain a precise location atall time of the UAVs 50. This can be accomplished in a plurality ofways, including a combination. The UAV air traffic control system 300can use triangulation based on the multiple cell towers 12, locationidentifiers from GPS/GLONASS transmitted over the cell network 402 bythe UAVs 50, sensors in the UAV 50 for determining altitude, speed,etc., and the like.

§6.0 UAV Air Traffic Control Method Utilizing Wireless Networks

Referring to FIG. 8, in an exemplary embodiment, a flowchart illustratesa UAV air traffic control method 450 utilizing wireless networks. TheUAV air traffic control method 450 includes communicating with aplurality of UAVs via a plurality of cell towers associated with thewireless networks, wherein the plurality of UAVs each include hardwareand antennas adapted to communicate to the plurality of cell towers, andwherein each of the plurality of UAVs include a unique identifier (step452); maintaining data associated with flight of each of the pluralityof UAVs based on the communicating (step 454); and processing themaintained data to perform a plurality of functions associated with airtraffic control of the plurality of UAVs (step 456). The UAV-basedmethod 450 can further include transmitting data based on the processingto one or more of the plurality of UAVs to perform the plurality offunctions (step 458). The plurality of UAVs can be configured toconstrain flight based on coverage of the plurality of cell towers. Theconstrained flight can include one or more of pre-configuring theplurality of UAVs to operate only where the coverage exists, monitoringcell signal strength by the plurality of UAVs and adjusting flight basedtherein, and a combination thereof.

The maintaining data can include the plurality of UAVs and/or theplurality of cell towers providing location, speed, direction, andaltitude. The location can be determined based on a combination oftriangulation by the plurality of cell towers and a determination by theUAV based on a location identification network. The plurality offunction can include one or more of separation assurance between UAVs;navigation assistance; weather and obstacle reporting; monitoring ofspeed, altitude, location, and direction; traffic management; landingservices; and real-time control. One or more of the plurality of UAVscan be configured for autonomous operation through the air trafficcontrol. The plurality of UAVs can be configured with mobile devicehardware configured to operate on a plurality of different cellnetworks.

§7.0 UAV Air Traffic Control Method Concurrently Utilizing a Pluralityof Wireless Networks

Referring to FIG. 9, in an exemplary embodiment, a flowchart illustratesan Unmanned Aerial Vehicle (UAV) air traffic control method 500implemented in the UAV 50 during a flight, for concurrently utilizing aplurality wireless networks for air traffic control. The UAV air trafficcontrol method 500 includes maintaining communication with a firstwireless network and a second wireless network of the plurality ofwireless networks (step 502); communicating first data with the firstwireless network and second data with the second wireless networkthroughout the flight, wherein one or more of the first data and thesecond data is provided to an air traffic control system configured tomaintain status of a plurality of UAVs in flight and perform controlthereof (step 504); and adjusting the flight based on one or more of thefirst data and the second data and control from the air traffic controlsystem (step 506). The first wireless network can provide bidirectionalcommunication between the UAV and the air traffic control system and thesecond wireless network can support unidirectional communication to theUAV for status indications. The first wireless network can include oneor more cellular networks and the second wireless network can include alocation identification network. Both the first wireless network and thesecond wireless network can provide bidirectional communication betweenthe UAV and the air traffic control system for redundancy with one ofthe first wireless network and the second wireless network operating asprimary and another as backup. The first wireless network can providebidirectional communication between the UAV and the air traffic controlsystem and the second wireless network can support unidirectionalcommunication from the UAV for status indications.

The UAV air traffic control method can further include constraining theflight based on coverage of one or more of the first wireless networkand the second wireless network (step 508). The constrained flight caninclude one or more of pre-configuring the UAV to operate only where thecoverage exists, monitoring cell signal strength by the UAV andadjusting flight based therein, and a combination thereof. The firstdata can include location, speed, direction, and altitude for reportingto the air traffic control system. The control from the air trafficcontrol system can include a plurality of functions comprising one ormore of separation assurance between UAVs; navigation assistance;weather and obstacle reporting; monitoring of speed, altitude, location,and direction; traffic management; landing services; and real-timecontrol. The UAV can be configured for autonomous operation through theair traffic control system.

In another exemplary embodiment, an Unmanned Aerial Vehicle (UAV)adapted for air traffic control via an air traffic control system andvia communication to a plurality of wireless networks includes one ormore rotors disposed to a body; wireless interfaces including hardwareand antennas adapted to communicate with a first wireless network and asecond wireless network of the plurality of wireless networks, andwherein the UAV comprises a unique identifier; a processor coupled tothe wireless interfaces and the one or more rotors; and memory storinginstructions that, when executed, cause the processor to: maintaincommunication with the first wireless network and the second wirelessnetwork via the wireless interfaces; communicate first data with thefirst wireless network and second data with the second wireless networkthroughout the flight, wherein one or more of the first data and thesecond data is provided to an air traffic control system configured tomaintain status of a plurality of UAVs in flight and perform controlthereof; and adjust the flight based on one or more of the first dataand the second data and control from the air traffic control system. Thefirst wireless network can provide bidirectional communication betweenthe UAV and the air traffic control system and the second wirelessnetwork can support unidirectional communication to the UAV for statusindications. The first wireless network can include one or more cellularnetworks and the second wireless network can include a locationidentification network. Both the first wireless network and the secondwireless network can provide bidirectional communication between the UAVand the air traffic control system for redundancy with one of the firstwireless network and the second wireless network operating as primaryand another as backup.

The first wireless network can provide bidirectional communicationbetween the UAV and the air traffic control system and the secondwireless network can support unidirectional communication from the UAVfor status indications. The UAV can be configured to constrain theflight based on coverage of one or more of the first wireless networkand the second wireless network. The constrained flight can include oneor more of pre-configuring the UAV to operate only where the coverageexists, monitoring cell signal strength by the UAV and adjusting flightbased therein, and a combination thereof. The first data can includelocation, speed, direction, and altitude for reporting to the airtraffic control system. The control from the air traffic control systemcan include a plurality of functions comprising one or more ofseparation assurance between UAVs; navigation assistance; weather andobstacle reporting; monitoring of speed, altitude, location, anddirection; traffic management; landing services; and real-time control.The UAV can be configured for autonomous operation through the airtraffic control system.

§8.0 Package Delivery Authorization and Management

Referring to FIG. 10, in an exemplary embodiment, a flowchartillustrates a packet delivery authorization and management method 600utilizing the UAV air traffic control system 300. The method 600includes communicating with a plurality of UAVs via a plurality of celltowers associated with the wireless networks, wherein the plurality ofUAVs each comprise hardware and antennas adapted to communicate to theplurality of cell towers (step 602); maintaining data associated withflight of each of the plurality of UAVs based on the communicating (step604); processing the maintained data to perform a plurality of functionsassociated with air traffic control of the plurality of UAVs (step 606);and processing the maintained data to perform a plurality of functionsfor the delivery application authorization and management for each ofthe plurality of UAVs (step 608). The maintained data can includelocation information received and updated periodically from each of theplurality of UAVs, and wherein the location information is correlated tocoordinates and altitude. The location information can be determinedbased on a combination of triangulation by the plurality of cell towersand a determination by the UAV based on a location identificationnetwork. The processing for the delivery application authorization andmanagement can include checking the coordinates and the altitude basedon a flight plan, for each of the plurality of UAVs. The checking thecoordinates and the altitude can further include assuring each of theplurality of UAVs is in a specified flying lane.

The maintained data can include current battery and/or fuel status foreach of the plurality of UAVs, and wherein the processing for thedelivery application authorization and management can include checkingthe current battery and/or fuel status to ensure sufficiency to providea current delivery, for each of the plurality of UAVs. The maintaineddata can include photographs and/or video of a delivery location, andwherein the processing for the delivery application authorization andmanagement can include checking the delivery location is clear forlanding and/or dropping a package, for each of the plurality of UAVs.The maintained data can include photographs and/or video of a deliverylocation, and wherein the processing for the delivery applicationauthorization and management comprises, for each of the plurality ofUAVs, checking the delivery location for a delivery technique includingone of landing, dropping via a tether, dropping to a doorstep, droppingto a mailbox, dropping to a porch, and dropping to a garage. Theplurality of UAVs can be configured to constrain flight based oncoverage of the plurality of cell towers. The constrained flight caninclude one or more of pre-configuring the plurality of UAVs to operateonly where the coverage exists, monitoring cell signal strength by theplurality of UAVs and adjusting flight based therein, and a combinationthereof.

§8.1 Package Delivery Authorization and Management Via the Air TrafficControl System

In another exemplary embodiment, the air traffic control system 300utilizing wireless networks and concurrently supporting deliveryapplication authorization and management includes the processor and thenetwork interface communicatively coupled to one another; and the memorystoring instructions that, when executed, cause the processor to:communicate, via the network interface, with a plurality of UAVs via aplurality of cell towers associated with the wireless networks, whereinthe plurality of UAVs each include hardware and antennas adapted tocommunicate to the plurality of cell towers; maintain data associatedwith flight of each of the plurality of UAVs based on the communicating;process the maintained data to perform a plurality of functionsassociated with air traffic control of the plurality of UAVs; andprocess the maintained data to perform a plurality of functions for thedelivery application authorization and management for each of theplurality of UAVs.

§8.2 Landing Authorization and Management

In another exemplary aspect, the air traffic control system 300 can beconfigured to provide landing authorization and management in additionto the aforementioned air traffic control functions and package deliveryauthorization and management. The landing authorization and managementcan be at the home base of the UAV, at a delivery location, and/or at apickup location. The air traffic control system 300 can control andapprove the landing. For example, the air traffic control system 300 canreceive photographs and/or video from the UAV 50 of the location (homebase, delivery location, pickup location). The air traffic controlsystem 300 can make a determination based on the photographs and/orvideo, as well as other parameters such as wind speed, temperature, etc.to approve the landing.

§9.0 Separation Assurance Via the Air Traffic Control System

In another exemplary aspect, the air traffic control system 300 can beused to for separation assurance through altitude and flying lanecoordination in addition to the aforementioned air traffic controlfunctions, package delivery authorization and management, landingauthorization and management, etc. As the air traffic control system 300has monitored data from various UAVs 50, the air traffic control system300 can keep track of specific flight plans as well as cause changes inreal time to ensure specific altitude and vector headings, i.e., aflight lane. For example, the air traffic control system 300 can includea specific geography of interest and there can be adjacent air trafficcontrol systems 300 that communicate to one another and share someoverlap in the geography for handoffs. The air traffic control systems300 can make assumptions on future flight behavior based on the currentdata and then direct UAVs 50 based thereon. The air traffic controlsystem 300 can also communicate with commercial aviation air trafficcontrol systems for limited data exchange to ensure the UAVs 50 do notinterfere with commercial aircraft or fly in no-fly zones.

§10.0 Flying Lane Management

Referring to FIG. 11, in an exemplary embodiment, a diagram illustratesa flight path of an associated flying lane 700 of a UAV 50 from takeoffto landing. The flying lane 700 covers all flight phases which includepreflight, takeoff, en route, descent, and landing. Again, the flyinglane 700 includes coordinates (e.g., GPS, etc.), altitude, speed, andheading at a specified time. As described herein, the UAV 50 isconfigured to communicate to the air traffic control system 300, duringall of the flight phases, such as via the networks 302, 304. The airtraffic control system 300 is configured to monitor and manage/controlthe flying lane 700 as described herein. The objective of thismanagement is to avoid collisions, avoid obstructions, avoid flight inrestricted areas or areas with no network 302, 304 coverage, etc.

During preflight, the UAV 50 is configured to communicate with the airtraffic control system 300 for approvals (e.g., flight plan,destination, the flying lane 700, etc.) and notification thereof, forverification (e.g., weather, delivery authorization, etc.), and thelike. The key aspect of the communication during the preflight is forthe air traffic control system 300 to become aware of the flying lane700, to ensure it is open, and to approve the UAV 50 for takeoff. Otheraspects of the preflight can include the air traffic control system 300coordinating the delivery, coordinating with other systems, etc. Basedon the communication from the UAV 50 (as well as an operator, scheduler,etc.), the air traffic control system 300 can perform processing to makesure the flying lane 700 is available and if not, to adjust accordingly.

During takeoff, the UAV 50 is configured to communicate with the airtraffic control system 300 for providing feedback from the UAV 50 to theair traffic control system 300. Here, the air traffic control system 300can store and process the feedback to keep up to date with the currentsituation in airspace under control, for planning other flying lanes700, etc. The feedback can include speed, altitude, heading, etc. aswell as other pertinent data such as location (e.g., GPS, etc.),temperature, humidity, the wind, and any detected obstructions duringtakeoff. The detected obstructions can be managed by the air trafficcontrol system 300 as described herein, i.e., temporary obstructions,permanent obstructions, etc.

Once airborne, the UAV is en route to the destination and the airtraffic control system 300 is configured to communicate with the airtraffic control system 300 for providing feedback from the UAV 50 to theair traffic control system 300. Similar to takeoff, the communicationcan include the same feedback. Also, the communication can include anupdate to the flying lane 700 based on current conditions, changes, etc.A key aspect is the UAV 50 is continually in data communication with theair traffic control system 300 via the networks 302, 304.

As the destination is approached, the air traffic control system 300 canauthorize/instruct the UAV 50 to begin the descent. Alternatively, theair traffic control system 300 can pre-authorize based on reaching a setpoint. Similar to takeoff and en route, the communication in the descentcan include the same feedback. The feedback can also include informationabout the landing spot as well as processing by the air traffic controlsystem 300 to change any aspects of the landing based on the feedback.Note, the landing can include a physical landing or hovering andreleasing cargo.

In various embodiments, the air traffic control system 300 is expectedto operate autonomously or semi-autonomously, i.e., there is not a livehuman operator monitoring each UAV 50 flight. This is an importantdistinction between conventional air traffic control for aircraft andthe air traffic control system 300 for UAVs 50. Specifically, it wouldnot be feasible to manage UAVs 50 with live operators. Accordingly, theair traffic control system 300 is configured to communicate and manageduring all flight phases with a large quantity of UAVs 50 concurrentlyin an automated manner.

In an exemplary embodiment, the objective of the flying lane managementthrough the air traffic control system 300 is to manage deliveriesefficiently while secondarily to ensure collision avoidance. Again, thisaspect is different from conventional air traffic control which focusesfirst and foremost of collision avoidance. This is not to say thatcollision avoidance is minimized, but rather it is less important sincethe UAVs 50 can themselves maintain a buffer from one another based onthe in-flight detection. To achieve the management, the air trafficcontrol system 300 can implement various routing techniques to allowsthe UAVs 50 to use associated flying lanes 700 to arrive and deliverpackages. Thus, one aspect of flying lane management, especially fordelivery applications, is efficiency since efficient routing can savetime, fuel, etc. which is key for deliveries.

Referring to FIG. 12, in an exemplary embodiment, a diagram illustratesobstruction detection by the UAV 50 and associated changes to the flyinglane 700. One aspect of flying lane management is detected obstructionmanagement. Here, the UAV 50 has taken off, have the flying lane 700,and is in communication with the air traffic control system 300. Duringthe flight, either the UAV 50 detects an obstacle 710 or the air trafficcontrol system 300 is notified from another source of the obstacle 710and alerts the UAV 50. Again, the UAVs 50 are flying at lower altitudes,and the obstacle 710 can be virtually anything that is temporary such asa crane, a vehicle, etc. or that is permanent such as a building, tree,etc. The UAV 50 is configured, with assistance and control from the airtraffic control system 300 to adjust the flying lane 700 to overcome theobstacle 710 as well as add a buffer amount, such as 35 feet or anyother amount for safety.

Referring to FIG. 13, in an exemplary embodiment, a flowchartillustrates a flying lane management method 750 via an air trafficcontrol system communicatively coupled to a UAV via one or more wirelessnetworks. In an exemplary embodiment, the flying lane management method750 includes initiating communication to the one or more UAVs at apreflight stage for each, wherein the communication is via one or morecell towers associated with the one or more wireless networks, whereinthe plurality of UAVs each include hardware and antennas adapted tocommunicate to the plurality of cell towers (step 752); determining aflying lane for the one or more UAVs based on a destination, current airtraffic in a region under management of the air traffic control system,and based on detected obstructions in the region (step 754); andproviding the flying lane to the one or more UAVs are an approval totakeoff and fly along the flying lane (step 756). The flying lanemanagement method 750 can further include continuing the communicationduring flight on the flying lane and receiving data from the one or moreUAVs, wherein the data includes feedback during the flight (step 758);and utilizing the feedback to update the flying lane, to update otherflying lanes, and to manage air traffic in the region (step 760). Duringthe flight, the feedback includes speed, altitude, and heading, and thefeedback can further include one or more of temperature, humidity, wind,and detected obstructions.

The flying lane management method 750 can further include providingupdates to the flying lane based on the feedback and based on feedbackfrom other devices. The flying lane management method 750 can furtherinclude, based on the feedback, determining the one or more UAVs atready to descend or fly to the destination and providing authorizationto the one or more UAVs for a descent. The flying lane management method750 can further include, based on the feedback, detecting a newobstruction; and one of updating the flying lane based on adjustmentsmade by the one or more UAVs due to the new obstruction and providing anupdated flying lane due to the new obstruction. The adjustments and/orthe updated flying lane can include a buffer distance from the newobstruction. The new obstruction can be detected by the one or more UAVsbased on hardware thereon and communicated to the air traffic controlsystem. The air traffic control system can be adapted to operateautonomously.

In another exemplary embodiment, an air traffic control systemcommunicatively coupled to one or more Unmanned Aerial Vehicles (UAVs)via one or more wireless networks adapted to perform flying lanemanagement includes a network interface and one or more processorscommunicatively coupled to one another; and memory storing instructionsthat, when executed, cause the one or more processors to: initiatecommunication to the one or more UAVs at a preflight stage for each,wherein the communication is via one or more cell towers associated withthe one or more wireless networks, wherein the plurality of UAVs eachinclude hardware and antennas adapted to communicate to the plurality ofcell towers; determine a flying lane for the one or more UAVs based on adestination, current air traffic in a region under management of the airtraffic control system, and based on detected obstructions in theregion; and provide the flying lane to the one or more UAVs are anapproval to take off and fly along the flying lane. The instructions,when executed, can further cause the one or more processors to: continuethe communication during flight on the flying lane and receiving datafrom the one or more UAVs, wherein the data include feedback during theflight; and utilize the feedback to update the flying lane, to updateother flying lanes, and to manage air traffic in the region.

During the flight, the feedback includes speed, altitude, and heading,and the feedback can further include one or more of temperature,humidity, wind, and detected obstructions. The instructions, whenexecuted, can further cause the one or more processors to: provideupdates to the flying lane based on the feedback and based on feedbackfrom other devices. The instructions, when executed, can further causethe one or more processors to: based on the feedback, determine the oneor more UAVs at ready to descend or fly to the destination and providingauthorization to the one or more UAVs for a descent. The instructions,when executed, can further cause the one or more processors to: based onthe feedback, detect a new obstruction; and one of update the flyinglane based on adjustments made by the one or more UAVs due to the newobstruction and provide an updated flying lane due to the newobstruction. The adjustments and/or the updated flying lane can includea buffer distance from the new obstruction. The new obstruction can bedetected by the one or more UAVs based on hardware thereon andcommunicated to the air traffic control system. The air traffic controlsystem can be adapted to operate autonomously.

§11.0 Air Traffic Control Monitoring Systems and Methods

Referring to FIG. 14, in an exemplary embodiment, a block diagramillustrates functional components of a consolidated UAV air trafficcontrol monitoring system 300A. The monitoring system 300A is similar tothe UAV air traffic control system 300 described herein. Specifically,the monitoring system 300A includes the cell network 302 (or multiplecell networks 302) as well as the other wireless networks 304. The oneor more servers 200 are communicatively coupled to the networks 302, 304in a similar manner as in the UAV air traffic control system 300 as wellas the UAVs 50 communication with the servers 200. Additionally, themonitoring system 300A includes one or more consolidated servers 200Awhich are communicatively coupled to the servers 200.

The consolidated servers 200A are configured to obtain a consolidatedview of all of the UAVs 50. Specifically, the UAVs 50 are geographicallydistributed as are the networks 302, 304. The servers 200 providegeographic or zone coverage. For example, the servers 200 may besegmented along geographic boundaries, such as different cities, states,etc. The consolidated servers 200A are configured to provide a view ofall of the servers 200 and their associated geographic or zone coverage.Specifically, the consolidated servers 200A can be located in a nationalAir Traffic Control center. From the consolidated servers 200A, any airtraffic control functions can be accomplished for the UAVs 50. Theconsolidated servers 200A can aggregate data on all of the UAVs 50 basedon multiple sources, i.e., the servers 200, and from multiple networks302, 304.

Thus, from the consolidated servers 200A, UAV traffic can be managedfrom a single point. The consolidated servers 200A can perform any ofthe air traffic control functions that the servers 200 can perform. Forexample, the consolidated servers 200A can be used to eliminateaccidents, minimize delay and congestion, etc. The consolidate servers200A can handle connectivity with hundreds or thousands of the servers200 to manage millions or multiple millions of UAVs 50. Additionally,the consolidated servers 200A can provide an efficient Graphical UserInterface (GUI) for air traffic control.

Referring to FIG. 15, in an exemplary embodiment, a screen shotillustrates a Graphical User Interface (GUI) providing a view of theconsolidated UAV air traffic control monitoring system. Specifically,the GUI can be provided by the consolidated servers 200A to providevisualization, monitoring, and control of the UAVs 50 across a widegeography, e.g., state, region, or national. In FIG. 15, the GUIprovides a map visualization at the national level, consolidating viewsfrom multiple servers 200. Various circles are illustrated with shading,gradients, etc. to convey information such as congestion in a localregion.

A user can drill-down such as by clicking any of the circles orselecting any geographic region to zoom in. The present disclosurecontemplates zooming between the national level down to local or evenstreet levels to view individual UAVs 50. The key aspect of the GUI isthe information display is catered to the level of UAV 50 traffic. Forexample, at the national level, it is not possible to display every UAV50 since there are orders of magnitude more UAVs 50 than airplanes.Thus, at higher geographic levels, the GUI can provide a heat map or thelike to convey levels of UAV 50 congestion. As the user drills-down tolocal geographies, individual UAVs 50 can be displayed.

Using the GUI, the consolidated servers 200A, and the servers 200,various air traffic control functions can be performed. One aspect isthat control can be high-level (coarse) through individual-level (fine)as well as in-between. That is, control can be at a large geographiclevel (e.g., city or state), at a local level (city or smaller), and atan individual UAV 50 level. The high-level control can be performed viasingle commands through the consolidated server 200A that are propagateddown to the servers 200 and to the UAVs 50. Examples of high-levelcontrol include no-fly zones, congestion control, traffic management,hold patterns, and the like. Examples of individual-level controlinclude flight plan management; separation assurance; real-time control;monitoring of speed, altitude, location, and direction; weather andobstacle reporting; landing services; and the like.

In addition to the communication from the consolidated servers 200A tothe UAVs 50, such as through the servers 200, for air traffic controlfunctions, there can be two-way communication as well. In an exemplaryembodiment, the UAVs 50 are configured to provide a first set of data tothe servers 200, such as speed, altitude, location, direction, weatherand obstacle reporting. The servers 200 are configured to provide asecond set of data to the consolidated servers 200A, such as a summaryor digest of the first data. This hierarchical data handling enables theconsolidated servers 200A to handle nationwide control of millions ofUAVs 50.

For example, when there is a view at the national level, theconsolidated servers 200A can provide summary information for regions,such as illustrated in FIG. 15. This is based on the second set of datawhich can provide a summary view of the GUI, such as how many UAVs 50are in a region. When there is a drill-down to a local level, theconsolidated servers 200A can obtain more information from the servers,i.e., the first set of data, allowing the consolidated servers 200A toact in a similar manner as the servers 200 for local control.

Referring to FIG. 16, in an exemplary embodiment, a flowchartillustrates a UAV air traffic control and monitor method 800. The method800 includes communicating with a plurality of servers each configuredto communicate with a plurality of UAVs in a geographic or zone coverage(step 802); consolidating data from the plurality of servers to providea visualization of a larger geography comprising a plurality ofgeographic or zone coverages (step 804); providing the visualization viaa Graphical User Interface (GUI) (step 806); and performing one or morefunctions via the GUI for air traffic control and monitoring at any of ahigh-level and an individual UAV level (step 808). The visualization caninclude a heat map of congestion at the larger geography and a view ofindividual UAVs via a drill-down. For the individual UAV level, theconsolidating the data can include obtaining a first set of data and,for the high-level, the consolidating the data can include obtaining asecond set of data which is a summary or digest of the first set ofdata. The first set of data can include speed, altitude, location,direction, weather and obstacle reporting from individual UAVs.

For the individual UAV level, the air traffic control and monitoring caninclude any of flight plan management; separation assurance; real-timecontrol; monitoring of speed, altitude, location, and direction; weatherand obstacle reporting; landing services, and wherein, for thehigh-level, the air traffic control and monitoring can include any ofno-fly zones, congestion control, traffic management, and hold patterns.The plurality of UAVs can be configured to constrain flight based oncoverage of a plurality of cell towers, wherein the constrained flightcan include one or more of pre-configuring the plurality of UAVs tooperate only where the coverage exists, monitoring cell signal strengthby the plurality of UAVs and adjusting flight based therein, and acombination thereof. One or more of the plurality of UAVs are configuredfor autonomous operation through the air traffic control. The pluralityof UAVs each can include circuitry adapted to communicate via aplurality of cell networks to the plurality of servers. The plurality ofcell networks can include a first wireless network and a second wirelessnetwork each provide bidirectional communication between the UAV and theplurality of servers for redundancy with one of the first wirelessnetwork and the second wireless network operating as primary and anotheras a backup.

In another exemplary embodiment, an Unmanned Aerial Vehicle (UAV) airtraffic control and monitoring system includes a network interface andone or more processors communicatively coupled to one another; andmemory storing instructions that, when executed, cause the one or moreprocessors to: communicate with a plurality of servers each configuredto communicate with a plurality of UAVs in a geographic or zonecoverage; consolidate data from the plurality of servers to provide avisualization of a larger geography comprising a plurality of geographicor zone coverages; provide the visualization via a Graphical UserInterface (GUI); and perform one or more functions via the GUI for airtraffic control and monitoring at any of a high-level and an individualUAV level.

In a further exemplary embodiment, a non-transitory computer-readablemedium includes instructions that, when executed, cause one or moreprocessors to perform steps of: communicating with a plurality ofservers each configured to communicate with a plurality of UAVs in ageographic or zone coverage; consolidating data from the plurality ofservers to provide a visualization of a larger geography comprising aplurality of geographic or zone coverages; providing the visualizationvia a Graphical User Interface (GUI); and performing one or morefunctions via the GUI for air traffic control and monitoring at any of ahigh-level and an individual UAV level.

§12.0 Obstruction Detection, Identification, and Management Systems andMethods

Referring to FIGS. 17 and 18, in an exemplary embodiment, block diagramsillustrate the UAV air traffic control system 300 describingfunctionality associated with obstruction detection, identification, andmanagement with FIG. 17 describing data transfer from the UAVs 50 to theservers 200 and FIG. 18 describing data transfer to the UAVs 50 from theservers 200. As described herein, obstructions include, withoutlimitation, other UAVs 50 based on their flight plan and objects at ornear the ground at height above ground of several hundred feet. Again,the UAVs 50 typically fly at low altitudes such as 100′-500′ andobstruction management is important based on this low level of flight.

The obstructions can be stored and managed in an obstruction database(DB) 820 communicatively coupled to the servers 200 and part of the UAVair traffic control system 300. Obstructions can be temporary orpermanent and managed accordingly. Thus, the DB 820 can include an entryfor each obstruction with location (e.g., GPS coordinates), size(height), and permanence. Temporary obstructions can be ones that aretransient in nature, such as a scaffold, construction equipment, otherUAVs 50 in flight, etc. Permanent obstructions can be buildings, powerlines, cell towers, geographic (mountains), etc. For the permanence,each entry in the DB 820 can either be marked as permanent or temporarywith a Time to Remove (TTR). The TTR can be how long the entry remainsin the DB 820. The permanence is determined by the servers 200 asdescribed herein.

The obstruction detection, identification, and management is performedin the context of the UAV air traffic control system 300 describedherein with communication between the UAVs 50 and the servers 200 viathe wireless networks 302, 304. FIGS. 17 and 18 illustrate functionalityin the UAV air traffic control system 300 with FIGS. 17 and 18 separateto show different data flow and processing.

In FIG. 17, the UAVs 50 communicates to the servers 200 through thewireless networks 302, 304. Again, as described herein, the UAVs 50 haveadvanced data capture capabilities, such as video, photos, locationcoordinates, altitude, speed, wind, temperature, etc. Additionally, someUAVs 50 can be equipped with radar to provide radar data surveyingproximate landscape. Collectively, the data capture is performed by datacapture equipment associated with the UAVs 50.

Through the data capture equipment, the UAVs 50 are adapted to detectpotential obstructions and detect operational data (speed, direction,altitude, heading, location, etc.). Based on one or more connections tothe wireless networks 302, 304, the UAVs 50 are adapted to transfer theoperational data to the servers 200. Note, the UAV 50 can be configuredto do some local processing and transmit summaries of the operationaldata to reduce the transmission load on the wireless networks 302, 304.For example, for speed, heading, etc., the UAVs 50 can transmit deltainformation such that the servers 200 can track the flight plan. Note,the transmission of the operational data is performed throughout theflight such that the servers 200 can manage and control the UAVs 50.

For obstructions, the UAVs 50 can capture identification data, photos,video, etc. In an exemplary embodiment, the UAVs 50 are providedadvanced notification of obstructions (in FIG. 18) and capable of localdata processing of the identification data to verify the obstructions.If the local data processing determines an obstruction is already known,i.e., provided in a notification from the servers 200, the UAV 50 doesnot require any further processing or data transfer of theidentification data, i.e., this obstruction is already detected. On theother hand, if the UAV 50 detects a potential obstruction, i.e., onethat it has not been notified of, based on the local data processing,the UAV 50 can perform data transfer of the identification data to theservers 200.

The servers 200 are configured to manage the obstruction DB 820, namelyto update the entries therein. The servers 200 are configured to receiveoperational data from the UAVs 50 under control for management thereof.Specifically, the servers 200 are configured to manage the flight plansof the UAVs 200, and, in particular with respect to obstructions, foradvanced notification of future obstructions in the flight plan.

The servers 200 are configured to receive the detection of potentialobstructions. The UAVs 200 can either simply notify the servers 200 of apotential obstruction as well as provide the identification data for theservers 200 to perform identification and analysis. Upon receipt of anydata from the UAVs 200 related to obstructions (a mere notification,actual photos, etc.), the servers 200 are configured to correlate thisdata with the DB 820. If the data correlates to an entry that exists inthe DB 820, the servers 200 can update the entry if necessary, e.g.,update any information related to the obstruction such as last seendate.

If the servers 200 detect the potential obstruction does not exist inthe DB 820, the servers 200 are configured to add an entry in the DB820, perform identification if possible from the identification data,and potentially instruct a UAV 50 to identify in the future. Forexample, if the servers 200 can identify the potential obstruction fromthe identification data, the servers 200 can create the DB 820 entry andpopulate it with the identified data. The servers 200 can analyze theidentification data, as well as request human review, using patternrecognition to identify what the obstruction is, what itscharacteristics are (height, size, permanency, etc.).

If the servers 200 do not have enough identification data, the servers200 can instruct the identifying UAV 50 or another UAV 50 in proximityin the future to obtain specific identification data for the purposes ofidentification.

In FIG. 18, the servers 200 continue to manage the DB 820, both forpopulating/managing entries as well as to provide notifications ofobstructions in the flight plans of each of the UAVs 50. Specifically,the servers 200 are configured to keep track of the flight plans of allof the UAVs 50 under its control. As part of this tracking, the servers200 are configured to correlate the operational data to derive theflight plan and to determine any obstructions from the DB 820 in theflight plan. The servers 200 are configured to provide notificationsand/or instructions to the UAVs 50 based on upcoming obstructions.

Additionally, the servers 200 are configured to provide instructions toUAVs 50 to capture identification data for potential obstructions thatare not yet identified. Specifically, the servers 200 can instruct theUAVs 50 on what exact data to obtain, e.g., pictures, video, etc., andfrom what angle, elevation, direction, location, etc. With theidentification data, the servers 200 can perform various processes topattern match the pictures with known objects for identification. Incase an obstruction is not matched, it can be flagged for human review.Also, human review can be performed based on successful matches to gradethe performance and to further improve pattern matching techniques.Identification of the obstruction is important for permanencydeterminations. For example, a new high-rise building is permanentwhereas a construction crane is temporary.

For the TTR, temporary obstructions are automatically removed in the DB820 based on this entry. In an exemplary embodiment, the TTR can be aflag with a specified time. In another exemplary embodiment, the TTR canbe a flag which requires removal if the next UAV 50 passing near theobstruction fails to detect and report it.

Referring to FIG. 19, in an exemplary embodiment, a flowchartillustrates an obstruction detection and management method 900implemented through the UAV air traffic control system 300 for the UAVs50. The obstruction detection and management method 900 includesreceiving UAV data from a plurality of UAVs, wherein the UAV datacomprises operational data for the plurality of UAVs and obstructiondata from one or more UAVs (step 902); updating an obstruction databasebased on the obstruction data (step 904); monitoring a flight plan forthe plurality of UAVs based on the operational data (step 906); andtransmitting obstruction instructions to the plurality of UAVs based onanalyzing the obstruction database with their flight plan (step 908).

The obstruction data can include an indication of a potentialobstruction which was not provided to a UAV in the obstructioninstructions. The obstruction data can include a confirmation of anobstruction based on the obstruction instructions, and wherein theupdating can include noting any changes in the obstruction based on theconfirmation. The obstruction instructions can include a request to aUAV to perform data capture of a potential obstruction, wherein theobstruction data can include photos and/or video of the potentialobstruction, and wherein the updating can include identifying thepotential obstruction based on the obstruction data.

The obstruction database can include entries of obstructions with theirheight, size, location, and a permanency flag comprising either atemporary obstruction or a permanent obstruction. The permanency flagcan include a Time To Remove (TTR) for the temporary obstruction whichis a flag with a specified time or a flag which requires removal if thenext UAV passing near the temporary obstruction fails to detect andreport it. The operational data can include a plurality of speed,location, heading, and altitude, and wherein the flight plan isdetermined from the operational data. The plurality of UAVs fly underabout 1000′.

In another exemplary embodiment, an Unmanned Aerial Vehicle (UAV) airtraffic control and monitoring system for obstruction detection andmanagement includes a network interface and one or more processorscommunicatively coupled to one another; and memory storing instructionsthat, when executed, cause the one or more processors to receive UAVdata from a plurality of UAVs, wherein the UAV data includes operationaldata for the plurality of UAVs and obstruction data from one or moreUAVs; update an obstruction database based on the obstruction data;monitor a flight plan for the plurality of UAVs based on the operationaldata; and transmit obstruction instructions to the plurality of UAVsbased on analyzing the obstruction database with their flight plan.

A non-transitory computer-readable medium comprising instructions that,when executed, cause one or more processors to perform steps of:receiving Unmanned Aerial Vehicle (UAV) data from a plurality of UAVs,wherein the UAV data includes operational data for the plurality of UAVsand obstruction data from one or more UAVs; updating an obstructiondatabase based on the obstruction data; monitoring a flight plan for theplurality of UAVs based on the operational data; and transmittingobstruction instructions to the plurality of UAVs based on analyzing theobstruction database with their flight plan.

Although the present disclosure has been illustrated and describedherein with reference to preferred embodiments and specific examplesthereof, it will be readily apparent to those of ordinary skill in theart that other embodiments and examples may perform similar functionsand/or achieve like results. All such equivalent embodiments andexamples are within the spirit and scope of the present disclosure, arecontemplated thereby, and are intended to be covered by the followingclaims.

What is claimed is:
 1. An obstruction detection and management methodthrough an Air Traffic Control (ATC) system for Unmanned Aerial Vehicles(UAVs), the obstruction detection and management method comprising:receiving UAV data from a plurality of UAVs, wherein the UAV datacomprises operational data for the plurality of UAVs and obstructiondata from one or more UAVs; updating an obstruction database based onthe obstruction data; monitoring a flight plan for the plurality of UAVsbased on the operational data; and transmitting obstruction instructionsto the plurality of UAVs based on analyzing the obstruction databasewith their flight plan.
 2. The obstruction detection and managementmethod of claim 1, wherein the obstruction data comprises an indicationof a potential obstruction which was not provided to a UAV in theobstruction instructions.
 3. The obstruction detection and managementmethod of claim 1, wherein the obstruction data comprises a confirmationof an obstruction based on the obstruction instructions, and wherein theupdating comprises noting any changes in the obstruction based on theconfirmation.
 4. The obstruction detection and management method ofclaim 1, wherein the obstruction instructions comprise a request to aUAV to perform data capture of a potential obstruction, wherein theobstruction data comprises photos and/or video of the potentialobstruction, and wherein the updating comprises identifying thepotential obstruction based on the obstruction data.
 5. The obstructiondetection and management method of claim 1, wherein the obstructiondatabase comprises entries of obstructions with their height, size,location, and a permanency flag comprising either a temporaryobstruction or a permanent obstruction.
 6. The obstruction detection andmanagement method of claim 5, wherein the permanency flag comprises aTime To Remove (TTR) for the temporary obstruction which is a flag witha specified time or a flag which requires removal if the next UAVpassing near the temporary obstruction fails to detect and report it. 7.The obstruction detection and management method of claim 1, wherein theoperational data comprises a plurality of speed, location, heading, andaltitude, and wherein the flight plan is determined from the operationaldata.
 8. The obstruction detection and management method of claim 1,wherein the plurality of UAVs fly under about 1000′.
 9. An UnmannedAerial Vehicle (UAV) air traffic control and monitoring system forobstruction detection and management, the system comprising: a networkinterface and one or more processors communicatively coupled to oneanother; and memory storing instructions that, when executed, cause theone or more processors to: receive UAV data from a plurality of UAVs,wherein the UAV data comprises operational data for the plurality ofUAVs and obstruction data from one or more UAVs; update an obstructiondatabase based on the obstruction data; monitor a flight plan for theplurality of UAVs based on the operational data; and transmitobstruction instructions to the plurality of UAVs based on analyzing theobstruction database with their flight plan.
 10. The system of claim 9,wherein the obstruction data comprises an indication of a potentialobstruction which was not provided to a UAV in the obstructioninstructions.
 11. The system of claim 9, wherein the obstruction datacomprises a confirmation of an obstruction based on the obstructioninstructions, and wherein updates to the obstruction database comprisenoting any changes in the obstruction based on the confirmation.
 12. Thesystem of claim 9, wherein the obstruction instructions comprise arequest to a UAV to perform data capture of a potential obstruction,wherein the obstruction data comprises photos and/or video of thepotential obstruction, and wherein updates to the obstruction databasecomprise identifying the potential obstruction based on the obstructiondata.
 13. The system of claim 9, wherein the obstruction databasecomprises entries of obstructions with their height, size, location, anda permanency flag comprising either a temporary obstruction or apermanent obstruction.
 14. The system of claim 13, wherein thepermanency flag comprises a Time To Remove (TTR) for the temporaryobstruction which is a flag with a specified time or a flag whichrequires removal if the next UAV passing near the temporary obstructionfails to detect and report it.
 15. The system of claim 9, wherein theoperational data comprises a plurality of speed, location, heading, andaltitude, and wherein the flight plan is determined from the operationaldata.
 16. The system of claim 9, wherein the plurality of UAVs fly underabout 1000′.
 17. A non-transitory computer-readable medium comprisinginstructions that, when executed, cause one or more processors toperform steps of: receiving Unmanned Aerial Vehicle (UAV) data from aplurality of UAVs, wherein the UAV data comprises operational data forthe plurality of UAVs and obstruction data from one or more UAVs;updating an obstruction database based on the obstruction data;monitoring a flight plan for the plurality of UAVs based on theoperational data; and transmitting obstruction instructions to theplurality of UAVs based on analyzing the obstruction database with theirflight plan.
 18. The non-transitory computer-readable medium of claim17, wherein the obstruction data comprises an indication of a potentialobstruction which was not provided to a UAV in the obstructioninstructions.
 19. The non-transitory computer-readable medium of claim17, wherein the obstruction data comprises a confirmation of anobstruction based on the obstruction instructions, and wherein theupdating comprises noting any changes in the obstruction based on theconfirmation.
 20. The non-transitory computer-readable medium of claim17, wherein the obstruction instructions comprise a request to a UAV toperform data capture of a potential obstruction, wherein the obstructiondata comprises photos and/or video of the potential obstruction, andwherein the updating comprises identifying the potential obstructionbased on the obstruction data.